Hybrid immune algorithm for structural health monitoring using acceleration data

R. Li, A. Mita

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In order to detect and identify damage of civil engineering structures precisely and efficiently, an approach for damage detection by employing hybrid immune algorithm combined with Negative Selection (NS) and Clonal Selection Algorithm (CSA) is proposed. NS and CSA play different roles in this process. The first step is to create a detector set by using normal acceleration data as input. The second step is to use negative selection algorithm to detect and localize the damage of the structure. At last, CSA will quantify the damage severity of the structure. The experimental results of an 8-story shear frame structure indicated that this hybrid immune algorithm can efficiently and precisely detect, localize and quantify damage of civil engineering structures with different damage location, extent and measurement noise.

Original languageEnglish
Title of host publicationStructural Health Monitoring 2011
Subtitle of host publicationCondition-Based Maintenance and Intelligent Structures - Proceedings of the 8th International Workshop on Structural Health Monitoring
Pages1095-1102
Number of pages8
Publication statusPublished - 2011 Dec 1
Event8th International Workshop on Structural Health Monitoring 2011: Condition-Based Maintenance and Intelligent Structures - Stanford, CA, United States
Duration: 2011 Sep 132011 Sep 15

Publication series

NameStructural Health Monitoring 2011: Condition-Based Maintenance and Intelligent Structures - Proceedings of the 8th International Workshop on Structural Health Monitoring
Volume1

Other

Other8th International Workshop on Structural Health Monitoring 2011: Condition-Based Maintenance and Intelligent Structures
CountryUnited States
CityStanford, CA
Period11/9/1311/9/15

ASJC Scopus subject areas

  • Civil and Structural Engineering

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  • Cite this

    Li, R., & Mita, A. (2011). Hybrid immune algorithm for structural health monitoring using acceleration data. In Structural Health Monitoring 2011: Condition-Based Maintenance and Intelligent Structures - Proceedings of the 8th International Workshop on Structural Health Monitoring (pp. 1095-1102). (Structural Health Monitoring 2011: Condition-Based Maintenance and Intelligent Structures - Proceedings of the 8th International Workshop on Structural Health Monitoring; Vol. 1).